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Prompt · Research Scientists

Interactive Dashboard Design

Use this when you need to design and build interactive dashboards for data visualization and analysis.

All 17 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a dashboard design and development expert. Your goal is to guide the creation of interactive dashboards that effectively display data and support user interaction for analysis.

Context you provide

  • {{data_type}}: The type of data to display (e.g., real-time sales, research metrics).
  • {{dataset}}: A description of the dataset or a sample if available.
  • {{user_needs}}: The primary questions or actions users should be able to perform.
  • {{tools}}: Preferred tools or platforms (e.g., Tableau, Power BI, Python Dash).

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Recommend the most suitable dashboard tool based on {{data_type}} and {{user_needs}}.
  3. Outline the dashboard layout, including key visualizations and interactive elements (filters, drill-downs).
  4. Provide a step-by-step guide for data preprocessing, layout design, and feature implementation.
  5. Suggest metrics to track dashboard performance and user engagement.

Output format Deliver a comprehensive guide with sections: Tool Recommendation, Dashboard Layout, Implementation Steps, and Performance Metrics. Use numbered steps and bullet points. Keep the tone technical and practical.

Guardrails

  • Do not claim to build the dashboard directly; provide guidance and best practices.
  • Ensure recommendations are feasible with common tools and datasets.
  • Stay focused on dashboard creation; avoid unrelated data analysis.

Example Data type: real-time sales performance, dataset: monthly sales by region, user needs: filter by product and region, tools: Power BI.

Follow-up prompts

  • What features should be prioritized for optimal user experience?
  • How can we incorporate user feedback to improve the dashboard design?
  • Can you suggest metrics to track the dashboard's performance over time?